Evidence map›Paper›PMID 39465176›Full record

ArticlePeerJ2024

Spatiotemporal gait characteristics post-total hip arthroplasty and its impact on locomotive syndrome: a before-after comparative study in hip osteoarthritis patients.

Shigeaki Miyazaki, Yoshinori Fujii, Kurumi Tsuruta, Saori Yoshinaga, Amy Hombu, Taro Funamoto, Takero Sakamoto, Takuya Tajima, Hideki Arakawa, Tsubasa Kawaguchi and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Shigeaki MiyazakiRehabilitation Unit, University of Miyazaki Hospital, Miyazaki, Japan.
Yoshinori FujiiDepartment of Mathematics Education, Faculty of Education, University of Miyazaki, Miyazaki, Japan.
Kurumi TsurutaDepartment of Nursing, Faculty of Human Health Sciences, Shunan University, Shunan, Yamaguchi, Japan.
Saori YoshinagaSchool of Nursing, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Amy HombuCenter for Language and Cultural Studies, Lecturer, University of Miyazaki, Miyazaki, Japan.
Taro FunamotoDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Takero SakamotoDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Takuya TajimaDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Hideki ArakawaRehabilitation Unit, University of Miyazaki Hospital, Miyazaki, Japan.
Tsubasa KawaguchiRehabilitation Unit, University of Miyazaki Hospital, Miyazaki, Japan.
Jun NakatakeRehabilitation Unit, University of Miyazaki Hospital, Miyazaki, Japan.
Etsuo ChosaDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the gait pattern of patients eligible for total hip arthroplasty (THA) due to hip osteoarthritis (OA) offers valuable information for improving locomotive syndrome (LS). This study aims to measure the gait patterns of THA-eligible patients using an optical motion capture system and to analyze these patterns using principal component analysis (PCA). Additionally, this study examines the relationship between THA-induced gait patterns and LS. Methods: This before-after study included 237 patients who underwent unilateral primary THA due to hip OA. The primary outcome measures were spatiotemporal gait parameters. Secondary outcome measures included three LS risk tests: a stand-up test, a two-step test, a 25-question Geriatric Locomotive Function Scale (GLFS-25), and total clinical decision limits stages. PCA was performed using 16 spatiotemporal gait parameters collected before and three months after THA. Principal components (PC) were selected to achieve a cumulative contribution rate of 90% (0.9) or higher. Each summarized PC was compared using a paired Results: PCA identified three principal components (PC1, PC2, PC3) that accounted for a cumulative contribution rate of 0.910 using 16 spatiotemporal gait parameters. When comparing before and three months after THA for all three PCs, significant differences were observed in each PC ( Conclusions: The most important findings of this study indicate that the three PCs represent over 90% of the 16 spatiotemporal gait parameters, which are associated with total clinical decision limits stage and LS risk tests. The present results suggest that PC1 represents overall walking ability, PC2 represents the stance phase, and PC3 represents asymmetry of support time. Gait pattern characteristics, such as overall walking ability, stance phase, and asymmetry of support time, were clearly defined by these PCs. Regarding the relationship between PC and LS, all three PCs are related to total clinical decision limits stage. In addition, PC1 and PC2 related to all three LS risk tests, and PC3 related only to the stand-up test.

Indexed as

Arthroplasty, Replacement, HipGaitOsteoarthritis, HipAgedFemaleGait AnalysisHumansLocomotionMaleMiddle AgedPrincipal Component AnalysisSyndromeGait characteristicsHip osteoarthritisLocomotive syndromePrincipal component analysisSpatiotemporal gait parametersThree-dimensional analysisTotal hip arthroplasty

Identifiers

PMID39465176
PMCPMC11505882

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.